The FAACS backcast: Afforestation activity in the Prairie Provinces (19902002)
Bibliographic record
Abstract
Under Action Plan 2000, the Feasibility Assessment of Afforestation for Carbon Sequestration (FAACS) initiative is exploring the feasibility of large-scale afforestation as an effective response to Canada's climate change commitments. One component of the FAACS initiative is a "backcast" or inventory of afforestation activity that has occurred on privately owned land since 1990. Within the Prairie Provinces, the backcast of afforestation activity identified approximately 2650 hectares that were afforested between 1990 and 2002. Temporal and spatial trends were identified from the afforestation activities documented. Temporally, there was a two-year cycle of afforestation activity between 1997 and 2002, and a noticeable shift from the planting of coniferous to deciduous trees between 2000 and 2001. Spatially, three ecoregions, Boreal Transition, Mid-Boreal Uplands and Peace Lowland, accounted for 83% of the afforestation activity. Environmental conditions associated with afforestation sites were identified for mean annual and growing season precipitation (342 mm to 578 mm and 214 mm to 361 mm, respectively), climate moisture index (-27 to 20 cm), and growing degree days (1009 to 1789). Afforestation sites were mostly located on loamy, well-drained soils with pH values between 6 and 8 in plant hardiness zones 1a, 1b, 2a, 2b and 3a. Environmental and socioeconomic (e.g., proximity to mills) factors influenced the location of afforestation activity in the Prairie Provinces. This information provides direct inputs into the selection of spatial and environmental variables and their attribute values for developing a model of land suitability for afforestation in the Prairie Provinces, and will provide a basis for its application across Canada. Key words: afforestation, reforestation, land suitability, carbon sequestration, hybrid poplar
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".